ΑΙhub.org
 

Computing Up – Theories of theories of everything


by
03 October 2019



share this:

Inspired by a WIRED profile of Karl Friston, Michael Littman and Dave Ackley talk about theories of everything, and theories thereof.




Computing Up Conversations about computation writ large, with Michael Littman and Dave Ackley.
Computing Up Conversations about computation writ large, with Michael Littman and Dave Ackley.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Congratulations to the #IJCAI-ECAI 2026 distinguished paper award winners

  21 Aug 2026
Find out who has won the prestigious awards at the conference in Bremen.

The Machine Ethics podcast: MLops and HCI with Demetrios Brinkmann

In this episode, Ben chats to Demetrios about ML and MLops, narrow machine learning being still relevant, vibe coding, working with agents, and more.
AI pioneers

On Rashomon sets, the mathematics of simplicity, and why we don’t need black boxes: an interview with Cynthia Rudin

  19 Aug 2026
We speak to AI Pioneer Cynthia Rudin about interpretability, noise, and the case against complexity for complexity's sake.

#IJCAI-ECAI 2026: social media round-up part one

  18 Aug 2026
What have participants been getting up to during the opening days in Bremen?

#AAMAS2026 blue sky award winner: Foundation world models for agents in changing environments

  17 Aug 2026
Hear from the AAMAS 2026 Best Blue Sky Paper Award winner.

What’s coming up at IJCAI-ECAI 2026?

  14 Aug 2026
Find out what the programme has in store for attendees in Bremen.
coffee corner

AIhub Coffee Corner: does AI change the way we think?

  13 Aug 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.

Royal Statistical Society AI task force says: AI regulation needs statistics

  12 Aug 2026
Real World Data Science interviewed RSS Task Force Chair Donna Philips.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence